【时间】:2026-09-20 【老师】:笑 【留名】:海绵宝宝 【人照】:9 【颜值】:9 【身材】:9 【服务】:10 【态度】:10 【环境】:10 【综合】:9.5 【过程】:这是一个悲伤的故事,我方损失了亿万大军。和笑老师上次分别已经半个月了,天天也是打打闹闹说说笑笑,今日无事决定去宠幸一下这位老喜欢争宠的妃子,还是老地方还是那个该死公寓,我也是如约而至。 遥控上楼,打开门笑老师就在那等着我了,一袭黑色长裙加上房间幽暗的灯光,竟然有一种朦胧美,让我微微失神,她展颜一笑说:不认识我了。我才回过神来。和笑老师阔别已久,两人坐在沙发上我搂着她抽着烟,享受着片刻的安宁,一根香烟完毕,洗澡去了,笑还是如上次一般给我洗遍全身,洗漱完毕她拿着浴巾在门口面带笑容的看着我说:出来啊宝贝,我给你擦擦。走出卫生间身上擦拭干净,她蹲下身子微微仰头看我,缓缓的吧兄弟送进她的小嘴巴里面,她喉间发出微微的声音让我好不享受,简单的口两下只是开头的小菜…

Channel
郑州茶楼报告榜
@zzclbg
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
31,801subscribers
+3,904 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1003010952795 |
|---|---|
| Type | Channel |
| Username | @zzclbg |
| Created | Between 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 31 October 2026 |
| Measurements held | 52 |
| Confirmed unchanged | 1 time, most recently 31 October 2026 |
| On Telegram | t.me/zzclbg |
Topic
Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 68% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 31 Oct 2026, 11:59 | 31,801 | -24 |
| 30 Oct 2026, 12:01 | 31,825 | +6,617 |
| 29 Oct 2026, 13:41 | 25,208 | +13,183 |
| 28 Oct 2026, 14:46 | 12,025 | +713 |
| 27 Oct 2026, 16:11 | 11,312 | -89 |
| 26 Oct 2026, 14:15 | 11,401 | -45 |
| 25 Oct 2026, 12:36 | 11,446 | -9 |
| 24 Oct 2026, 15:08 | 11,455 | -46 |
| 23 Oct 2026, 16:48 | 11,501 | -26 |
| 22 Oct 2026, 18:20 | 11,527 | -4 |
| 21 Oct 2026, 11:47 | 11,531 | -1 |
| 20 Oct 2026, 10:36 | 11,532 | -8 |
| 19 Oct 2026, 07:45 | 11,540 | +6 |
| 18 Oct 2026, 05:07 | 11,534 | -96 |
| 17 Oct 2026, 06:40 | 11,630 | -96 |
| 16 Oct 2026, 08:18 | 11,726 | -24 |
| 15 Oct 2026, 05:41 | 11,750 | -221 |
| 14 Oct 2026, 03:08 | 11,971 | -162 |
| 11 Oct 2026, 16:36 | 12,133 | -188 |
| 7 Oct 2026, 04:56 | 12,321 | first reading |
Engagement
582 posts held, back to 6 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 57 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.337%
- avg views ÷ 31,801 subscribers
- Avg views / post
- 107
- 59 posts measured
- Reaction rate
- 0.532%
- reactions ÷ views · ER floor
- Posts in window
- 59
- of 582 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 13 of 59 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 31 October 2026 |
|---|---|
| Posts held | 582 (6 August 2026 – 31 October 2026) |
| Views total | 6,319 |
| Reactions total | 11 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 31 Oct 2026, 13:53 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
- Photos
- ≈3,500
- Videos
- ≈27
- Links
- ≈535
Lifetime counters from Telegram’s own channel header, read 31 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 7s
- Average length
- 7s
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
75 reactions across 50 posts, in 7 distinct kinds. The most used accounts for 41.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 31 | 41.3% | |
| 👍 | 23 | 30.7% | |
| 💩 | 11 | 14.7% | |
| 🤮 | 3 | 4.00% | |
| 🥰 | 3 | 4.00% | |
| 👎 | 2 | 2.67% | |
| 🔥 | 2 | 2.67% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 77 of the 582 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 75 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 582 most recent posts we hold, published 6 August 2026 to 31 October 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Recent posts
【时间】:2026-09-20 【老师】:清雪 【留名】:胖虎 【人照】:10 【颜值】:10 【身材】:9 【服务】:10 【态度】:10 【环境】:10 【综合】:9.83 【过程】:猴哥严选,名不虚传。 清雪大名如雷贯耳,观察一段时间后果断约课,提前约好第二天头课出击。推门进去第一眼人照无差,青春靓丽,身材苗条,黑色包臀裙衬托着曲线,不由得眼前一亮。说话轻声细语的,让进去坐沙发先休息一下,简单聊了几句心情放松了很多。 随后老师拉着一起洗澡,本人不善言辞,清雪会主动跟你聊聊,不至于冷场,水中萧让我很是惊喜,到现在还在回味。 来到房间,干净整洁的环境让人很舒服,先是背面服务,做完酥酥麻麻的,然后换正面,从胸舔到下面,一口含下那一刻,感觉大脑空白了,惊喜还在继续,老师还会深喉,又嫩又御还有服务,只后悔来的晚了。 接下来开始戴套办正事,老师女上摇了一会说累了,那就换我来,先后入姿势,然后惊喜又来了,老师这么瘦,屁股竟然肉肉的,抱着…
【时间】:2026-09-21 【老师】:梨梨子 【留名】:匿名 【人照】:10 【颜值】:10 【身材】:9 【服务】:10 【态度】:10 【环境】:10 【综合】:9.83 【过程】:之前约过老师做泡泡浴,今天提前预约了pp,体验下不一样的。老师服务还是那么好,pp的侧重点和泡泡浴有点不同,个人感觉泡泡浴更适合一些想要体验全套服务的,比较重视流程,想体验更好服务的可以冲。pp的侧重点更多在于交互,男方的主动权我觉得会更多一些。 回归正题,开门见到老师之后,老师热情的打招呼,问我要不要喝水。因为距离比较近,我是走路过来的。喝口水休息一下之后,老师开始帮忙洗澡,洗的非常认真,一点也不糊弄。洗完之后上床,问我做a面还是ab面,我说只做a面。然后老师开始服务。舔乳头,蛋蛋,指划之类的,然后开始口。没过一会我想做了,和老师说,开始做。老师很配合,什么姿势都可以满足,我还选了一套算是女仆还是修女的服装。老师太厉害了,没多久我就出货了,…
【时间】:2026-09-26 【老师】:小柠檬 【留名】:大王 【人照】:10 【颜值】:10 【身材】:10 【服务】:9.5 【态度】:10 【环境】:9.5 【综合】:9.83 【过程】:满意,颜值身材都很好,情绪价值高,不催不急时间留得很足。而且正好赶上老师做活动给优惠了100。这位老师属于是服务好态度好的高颜值御姐,名不虚传、难怪全是好评,还会再去。
【时间】:2026-10-03 【老师】:温妮 【留名】:匿名 【人照】:10 【颜值】:10 【身材】:10 【服务】:10 【态度】:10 【环境】:10 【综合】:10 【过程】:温妮老师,是我看了好几天的,当晚没事,临时联系老师出击,到教室后,老师一身女仆装很诱人,之后老师口活上阵,特别刺激,忍受不住,传教士体位开始,第一次出货后,休息和老师闲聊,然后听老师唱歌真的很好听,然后老师还叫弹吉他,后续老师再次口活帮助小弟弟复苏,后入出货,整体感觉温妮老师人特别有趣,过段时间要果断二次出击
【时间】:2026-10-03 【老师】:小幼辞 【留名】:匿名 【人照】:10 【颜值】:10 【身材】:9 【服务】:10 【态度】:10 【环境】:10 【综合】:9.83 【过程】:照片确实不如本人好看,本人很灵动俏皮可爱,香香软软的,确实很嫩,说话也很温柔,细声细气。妹妹也有自备的一次性洗漱水,牙膏牙刷。洗完澡,直接上床开始,妹妹非常听话,课表上的要求都会尽力满足,上来就主动舔我,亲吻舌吻也都不含糊。没想到口的也很舒服,还可以深喉。之后小雨伞带上,先女上开始,之后换了多个姿势,都完全配合。妹妹主动又害羞,眼睛一对视就不好意思的笑,还带着真实的轻声哼哼,让人欲罢不能。最后美美出货,一点都不催。过程中,因为我经验很少,所以也跟妹妹说哪里不舒服跟我说,调整调整。最后还贴心问候,拿水(水虽然我忘记拿了😁)
【时间】:2026-10-08 【老师】:宝佳 【留名】:匿名 【人照】:9 【颜值】:9 【身材】:9 【服务】:8 【态度】: 【环境】:9 【综合】:8.8 【过程】:约了老师,迫不及待出击,虽然迷路了,但是很快找了老师。老师先帮我洗一下,然后躺在床上,带水口很舒服。JB很硬,立马戴套插进去,有点紧,先慢慢动,等老师有水就加速,然后换后入姿势,连续换2个姿势出货走人。
【时间】:2026-10-08 【老师】:珂蕊 【留名】:皆空 【人照】:10 【颜值】:10 【身材】:9 【服务】:9 【态度】:10 【环境】:9 【综合】:9.5 【过程】:国庆假期期间在群里看到了老师的照片,第一眼就喜欢,像极了大学里的白月光,还在外地的时候就和老师约好了时间,返程路上一路畅通无阻,按照约好的时间如约而至。开课的地方在金水区龙子湖,位置很好找,按照老师给的信息找到房间,开门后见到了照片中的老师,人照一致没有误差,老师很漂亮,融合了少女的年轻感和御姐的成熟感,那种感觉很奇妙。课室是酒店式公寓,交了水费后就去洗澡,老师洗过了我就自己去洗,浴室里有一次性浴巾,洗完澡出来上课。老师褪去身上衣物,肤白貌美大长腿,身材修长比例匀称,胸有B杯,一手可握抓起来手感不错,乳晕颜色深,奶头很大差不多和葡萄那么大,含在嘴里边吸允边挑逗,老师忍不住开始呻吟起来,叫声很好听,没一会老师低头开始亲我的耳朵,在耳朵边说悄悄话,极具暧…
【时间】:2026-10-14 【老师】:菲儿 【留名】:大哥大 【人照】:10 【颜值】:10 【身材】:10 【服务】:10 【态度】:10 【环境】:10 【综合】:10 【过程】:有感而发老师绝对是版本最强老师了,提前约好老师,正常上楼老师已经等候,照例送上水和拖鞋,寒暄几句交上课费开始洗澡清洁,老师洗的很仔细,这里的沐浴露没什么味道,好评。干干净净清清爽爽上床。老师颜值非常到位,服务真的是天花板中的天花板,从来没享受过如此帝王级别的服务,柔情的管式spa跟我提到了什么叫真正的管式,还有多种毒龙等等等等太多了,我都不过来不说停老师都一直做,最后我二弟实在受不了,我迫不及待抱住老师就是一顿摸,老师今天的素颜让我肆无忌惮,爽的天昏地暗透不过气,摸着老师敏感又有料的肉体,都停不了手。二弟激动的流下了泪水,老师擦干净帮我开始口,毫无齿感很舒服,不叫停老师都不停下,还是选择带上了雨伞,老师坐上来的一瞬间,温暖又紧致全包裹住,一个字…
【时间】:2026-10-15 【老师】:无忧 【留名】:匿名 【人照】:9 【颜值】:9 【身材】:10 【服务】:9 【态度】:9 【环境】:9 【综合】:9.17 【过程】:昨晚看到老师频道的降价活动,有点心动尝试联系老师,过了一会总算约好时间进了小区不认路了,老师全程耐心指引我上楼。进屋先唠会嗑,没有冷场的情况,老师比较健谈。无忧老师熊大大的,穿着白色蕾丝,比较好捏😄屁股上肉也多,我一顿rua!前期已经沟通过服务内容了,整体非常融洽,先给小弟弟和全身洗了一遍,我也没闲着,忍不住想摸,各种摸。躺床上没急着干活,又唠了五分钟,不知不觉就过去了。等到老师开始服务我滴天,口活一绝啊,力度,节奏,都非常好。给我舔爽了我能放过她?按倒就一顿略略略,必须求饶。三个姿势各有千秋,正面老师娇羞,后入老师屁股有臀浪,女上老师是会动的,最后女上老师趴在我身上交的货
【时间】:2026-10-15 【老师】:无忧 【留名】:匿名 【人照】:9 【颜值】:9 【身材】:10 【服务】:10 【态度】:10 【环境】:9 【综合】:9.5 【过程】:每个人都会遇到自己的心头好,我想这就是我遇到的心头好了。喜欢嫩妹又想要特别好服务以及态度的可以直接冲。 开门第一眼就被老师的大胸,无忧是一个特别有气质且苗条的女生,进门换鞋喝水。先聊了聊天破冰,很温柔,声音也好听。于是就洗澡准备开始。无忧穿着很性感的内衣,沟通很舒服。有一种许久没见的异地女友一样。先开始了激烈的🐍吻。ls🐍吻应该是一绝,舌头交融缠绵,让人欲罢不能。接着就开始了口阶段,无齿感,深喉,让我硬的不行,也很久没有这种感觉了。接着69,酮体粉嫩清澈。已经硬的不行了开始了插入。先是女上,再是男上,后入每一个姿势都插入的很深,老师的水也很多,都流到了我的大腿上,让我更兴奋更用力了,最后连续冲击出货,大汗淋漓。说真的,很难找到这种身体的契合感,也是我…
【时间】:2026-10-20 【老师】:番番 【留名】:欧皇.欧佬 【人照】:5 【颜值】:5 【身材】:5 【服务】:5 【态度】:5 【环境】:5 【综合】:5 【过程】:人照有那么点差距。可能是我眼光高吧。直接走了。聊天态度挺好的
Showing the 12 most recent of 582 posts we hold for @zzclbg. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Posts edited after publishing
@zzclbg edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 29 August 2026
- Most recent edit
- 29 August 2026
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@luyao32 · 4611 post玛丽莲萌兔
@malilianmemgtu5588 · 4231 post幂幂的朋友圈
@mimi8896ppp · 91 post清欢🍓的个人空间
@naimei98 · 5431 post子默的相册
@nanaxide · 1,4061 post甜甜的频道
@th8163 · 3441 post艺涵的小屋
@yihan1231 · 1691 post依冉的后宫
@yiran786 · 6821 post云溪小舞台
@yunxi1132 · 2901 post
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 31 October 2026 — this entry's latest reading, not the date you are reading this.
“郑州茶楼报告榜” (@zzclbg), 31,801 subscribers as measured 31 October 2026. Telegram Register, tgregister.com/channel/zzclbg.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.